CRAN Package Check Results for Package mgcv

Last updated on 2025-04-05 07:53:20 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.9-2 96.94 395.03 491.97 OK
r-devel-linux-x86_64-debian-gcc 1.9-3 63.59 248.92 312.51 OK
r-devel-linux-x86_64-fedora-clang 1.9-3 565.59 OK
r-devel-linux-x86_64-fedora-gcc 1.9-3 422.11 OK
r-devel-macos-arm64 1.9-3 186.00 OK
r-devel-macos-x86_64 1.9-3 471.00 OK
r-devel-windows-x86_64 1.9-1 94.00 373.00 467.00 OK
r-patched-linux-x86_64 1.9-1 91.27 371.94 463.21 OK
r-release-linux-x86_64 1.9-1 89.37 364.62 453.99 OK
r-release-macos-arm64 1.9-3 187.00 NOTE
r-release-macos-x86_64 1.9-3 462.00 NOTE
r-release-windows-x86_64 1.9-2 91.00 361.00 452.00 OK
r-oldrel-macos-arm64 1.9-3 137.00 ERROR
r-oldrel-macos-x86_64 1.9-3 377.00 ERROR
r-oldrel-windows-x86_64 1.9-2 127.00 404.00 531.00 ERROR

Check Details

Version: 1.9-3
Check: installed package size
Result: NOTE installed size is 5.9Mb sub-directories of 1Mb or more: R 3.1Mb libs 1.7Mb Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 1.9-3
Check: examples
Result: ERROR Running examples in ‘mgcv-Ex.R’ failed The error most likely occurred in: > ### Name: mchol > ### Title: Sparse 'chol' function > ### Aliases: mchol > ### Keywords: models regression > > ### ** Examples > > library(mgcv) > ## A sparse +ve def matrix > u <- sample(1:100,10)*.001 > x <- i <- j <- 1:10 > ii <- sample(1:10,10,replace=TRUE); > jj <- sample(1:10,10,replace=TRUE) > x <- c(x,u,u); > i <- c(i,ii,jj) > j <- c(j,jj,ii) > A <- Matrix::sparseMatrix(i=i,j=j,x=x) > R <- mchol(A) > piv <- attr(R,"pivot") > range(crossprod(R)-A[piv,piv]) Error in crossprod(x, y) : requires numeric/complex matrix/vector arguments Execution halted Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 1.9-2
Check: examples
Result: ERROR Running examples in 'mgcv-Ex.R' failed The error most likely occurred in: > ### Name: mchol > ### Title: Sparse 'chol' function > ### Aliases: mchol > ### Keywords: models regression > > ### ** Examples > > library(mgcv) > ## A sparse +ve def matrix > u <- sample(1:100,10)*.001 > x <- i <- j <- 1:10 > ii <- sample(1:10,10,replace=TRUE); > jj <- sample(1:10,10,replace=TRUE) > x <- c(x,u,u); > i <- c(i,ii,jj) > j <- c(j,jj,ii) > A <- Matrix::sparseMatrix(i=i,j=j,x=x) > R <- mchol(A) > piv <- attr(R,"pivot") > range(crossprod(R)-A[piv,piv]) Error in crossprod(x, y) : requires numeric/complex matrix/vector arguments Execution halted Flavor: r-oldrel-windows-x86_64